EU Digital Omnibus Updates on the AI Act and the Accelerating Role of AI in Quality Assurance for the Construction Sector

The Digital Omnibus represents an important step in the harmonisation of European digital legislation. For the construction, utility and civil engineering sectors, it provides a clearer framework for applying AI in quality assurance. Within this framework, Basewise aligns closely by delivering sector-specific AI solutions for construction, infrastructure and energy, with a strong focus on quality assurance, systems engineering and compliance.

1| EU Digital Omnibus: simplification and harmonisation

The Digital Omnibus harmonises regulations related to data, cybersecurity and AI. This coherence reduces complexity for organisations operating across multiple domains. By aligning regulatory requirements, a consistent framework is created that simplifies compliance with European obligations.

As a result, the implementation of the AI Act becomes more manageable. The Digital Omnibus consolidates fragmented legislation and provides clarity on how different regulatory instruments interact. For organisations in the construction sector, this creates a solid foundation for positioning AI solutions within a clearly defined legal context.

Basewise strengthens this development by making AI directly applicable without requiring extensive IT programmes. This aligns well with the need for agile adaptation within a harmonised regulatory framework.

2| Addressing challenges around standards and overlapping legislation

A lack of coherence between standards and regulations has led to uncertainty regarding the use of AI within the construction sector. The Digital Omnibus addresses these challenges by streamlininger connecting regulations and providing guidance on consistency across domains.

This stability is directly relevant to quality assurance. Basewise supports this development through automation of requirements management, document analysis, validation, verification and test plan generation. These capabilities align with the Digital Omnibus framework, where procedural clarity and traceability are central.

3| Supporting SMEs through simplified QMS guidelines

The Digital Omnibus introduces simplified quality management system guidelines for SMEs. These measures reduce administrative burden for organisations that want to apply AI-driven processes.

For SMEs in construction, utility and civil engineering, this means AI solutions become more accessible within existing operational structures. Basewise naturally fits this need by offering AI solutions that can be deployed without heavy IT implementations, enabling SMEs to scale efficiently while remaining compliant.

4| Preparing for additional compliance guidelines

The Digital Omnibus is accompanied by the development of additional guidance to help organisations align AI implementations with the requirements of the AI Act. This makes compliance obligations more explicit and supports a structured approach to regulatory alignment.

Within this context, Basewise provides continuous monitoring of procedures, enabling organisations to consistently assess quality assurance processes against legal, contractual and regulatory requirements.

5| How AI accelerates quality assurance in construction

Quality assurance in construction demands accuracy, traceability and timely decision-making. AI supports these processes by accelerating checks, identifying deviations earlier and structuring data processing in a more consistent manner.

Basewise delivers sector-specific AI solutions that enhance existing workflows without complex IT integration. The Digital Omnibus creates a legal environment in which such applications fit naturally, as regulations become more predictable and coherent.

6| Quality assurance in utility and civil engineering

In utility and civil engineering projects, safety, documentation and compliance deadlines are critical. A harmonised regulatory framework makes it easier to position AI-supported quality assurance processes within statutory and contractual obligations.

Basewise supports this by automating document analysis, validation, verification and requirements management. The clearer definition of interactions between data processing, AI usage and cybersecurity contributes to a transparent and auditable process design.

Conclusion

The EU Digital Omnibus strengthens the implementation of the AI Act through harmonisation and simplification. For the construction, utility and civil engineering sectors, it establishes a stable framework in which AI can be applied responsibly and effectively for quality assurance.

Basewise directly aligns with this development by delivering sector-specific AI solutions that can be deployed without heavy IT programmes, and by providing automation for requirements management, document analysis, validation, verification, test plan generation and continuous procedure monitoring. This makes AI-driven quality assurance more practical and compliant within the European regulatory landscape.